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Conversational Context Management

Ability of a QA system to retain and use the history of exchanges to understand implicit references and maintain response consistency across multiple dialogue turns.

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Anaphora Resolution

NLP process that identifies and links pronouns or referential expressions (e.g., 'he', 'this solution') to their antecedents in the preceding conversational context.

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Entity Tracking

Mechanism that keeps the values of entities (dates, names, places) up-to-date throughout the conversation, allowing their modification or reuse in subsequent questions.

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Dialogue Policy

Decision-making component that, based on the current dialogue state, determines the next action to be executed by the system (ask a question, provide an answer, clarify).

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Response Generator

Module that transforms the action decided by the dialogue policy into a natural and coherent sentence or message intended for the user.

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Dialogue Turn

Atomic unit of a conversation, corresponding to a pair of exchanges (user utterance and system response) or to a single utterance in more complex models.

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Question Rephrasing

Technique for rephrasing an ambiguous or incomplete question into a more precise query, often by relying on the context of previous turns.

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Topic Change Detection

Ability of the system to identify when the user introduces a new topic, requiring a partial or total reset of the conversational context.

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Conversational Memory

Storage architecture (short-term or long-term) for key information from a conversation, enabling interaction personalization and continuity across multiple sessions.

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Interactive Clarification

A process where the system asks follow-up questions to the user to resolve ambiguity, get a missing detail, or refine its understanding before responding.

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Conversational Language Model

A type of language model (e.g., GPT, BERT) specifically pre-trained or fine-tuned on conversational data to better handle the specificities of natural language in conversation.

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Reasoning over History

The advanced ability of a QA system to not just retrieve past information, but to infer new knowledge by analyzing the logical sequence of exchanges.

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Interruption Handling

A mechanism allowing the system to handle cases where a user interrupts a response, asks an off-topic question, or abruptly changes the subject, while trying to remain relevant.

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Conversational Prompt Engineering

The art of designing instructions (prompts) for large language models by explicitly incorporating the conversation history to guide the generation of the next response.

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Multi-turn System

Refers to a QA system capable of handling dialogues that span multiple exchanges, as opposed to single-turn systems that treat each question in isolation.

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